195 citations · 238 across the 5 of their papers we have counts for
6 papers
ToolRACER: A Robust Agentic Conversation Emulation Resource for Agent Training and Evaluation
Arkajyoti Chakraborty, Aryan Tayal, Ishika Agarwal +5
Task-oriented conversational agents remain fragile under real world conversation scenarios as they rarely follow a predictable script, especially when users exhibit non-cooperative…
LLMs Get Smarter from Targeted Synthetic Multilingual Data
Ishika Agarwal, Arkajyoti Charaborty, Tanner Sorensen +2
Language-specific competency (LSC) is the phenomenon of a language model performing better or worse depending on the language of the prompt. In other words, a language model output…
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output
Hithesh Sankararaman, Mohammed Nasheed Yasin, Tanner Sorensen +2
We present a light-weight approach for detecting nonfactual outputs from retrieval-augmented generation (RAG). Given a context and putative output, we compute a factuality score th…
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images
Yongwan Lim, Asterios Toutios, Yannick Bliesener +16
Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development…
Derivation of Fitts' law from the Task Dynamics model of speech production
Tanner Sorensen, Adam Lammert, Louis Goldstein +1
Fitts' law is a linear equation relating movement time to an index of movement difficulty. The recent finding that Fitts' law applies to voluntary movement of the vocal tract raise…
Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists
Tanner Sorensen, Shravan Vasishth
With the arrival of the R packages nlme and lme4, linear mixed models (LMMs) have come to be widely used in experimentally-driven areas like psychology, linguistics, and cognitive…